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Reflections on the Foundations of Probability and Statistics

Essays in Honor of Teddy Seidenfeld

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  • © 2022

Overview

Editors:
  1. Thomas Augustin

    1. Department of Statistics, Ludwig-Maximilians-University of Munich, Munich, Germany

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  2. Fabio Gagliardi Cozman

    1. Universidade de São Paulo, São Paulo, Brazil

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    You can also search for this editor in PubMed   Google Scholar

  3. Gregory Wheeler

    1. Frankfurt School of Finance & Management, Frankfurt am Main, Germany

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  • Brings together quality scholarship
  • Examines findings in imprecise probability
  • Contains unique state-of-the-art research

Part of the book series: Theory and Decision Library A: (TDLA, volume 54)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. An Interview with Teddy Seidenfeld

    • Thomas Augustin, Fabio Gagliardi Cozman, Gregory Wheeler
    Pages 1-14

  3. The Value Provided by a Scientific Explanation

    • Ruobin Gong, Joseph B. Kadane, Mark J. Schervish, Teddy Seidenfeld, Rafael Bassi Stern
    Pages 15-35

  4. A Gentle Approach to Imprecise Probability

    • Gregory Wheeler
    Pages 37-67

  5. Foundations For Temporal Reasoning Using Lower Previsions Without A Possibility Space

    • Matthias C. M. Troffaes, Michael Goldstein
    Pages 69-96

  6. On the Equivalence of Normal and Extensive Form Representations of Games

    • Hailin Liu
    Pages 97-124

  7. Dilation and Informativeness

    • Seamus Bradley
    Pages 125-141

  8. Playing with Sets of Lexicographic Probabilities and Sets of Desirable Gambles

    • Fabio Gagliardi Cozman
    Pages 143-159

  9. How to Assess Coherent Beliefs: A Comparison of Different Notions of Coherence in Dempster-Shafer Theory of Evidence

    • Davide Petturiti, Barbara Vantaggi
    Pages 161-185

  10. Expected Utility in 3D

    • Jean Baccelli
    Pages 187-206

  11. On the Normative Status of Mixed Strategies

    • Kevin J.  S. Zollman
    Pages 207-239

  12. On a Notion of Independence Proposed by Teddy Seidenfeld

    • Jasper De Bock, Gert de Cooman
    Pages 241-281

  13. Coherent Choice Functions Without Archimedeanity

    • Enrique Miranda, Arthur Van Camp
    Pages 283-317

  14. Quantifying Degrees of E-admissibility in Decision Making with Imprecise Probabilities

    • Christoph Jansen, Georg Schollmeyer, Thomas Augustin
    Pages 319-346
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Keywords

About this book

This Festschrift celebrates Teddy Seidenfeld and his seminal contributions to philosophy, statistics, probability, game theory and related areas. The 13 contributions in this volume, written by leading researchers in these fields, are supplemented by an interview with Teddy Seidenfeld that offers an abbreviated intellectual autobiography, touching on topics of timeless interest concerning truth and uncertainty. Indeed, as the eminent philosopher Isaac Levi writes in this volume: "In a world dominated by Alternative Facts and Fake News, it is hard to believe that many of us have spent our life’s work, as has Teddy Seidenfeld, in discussing truth and uncertainty." The reader is invited to share this celebration of Teddy Seidenfeld’s work uncovering truths about uncertainty and the penetrating insights they offer to our common pursuit of truth in the face of uncertainty.

Editors and Affiliations

  • Department of Statistics, Ludwig-Maximilians-University of Munich, Munich, Germany

    Thomas Augustin

  • Universidade de São Paulo, São Paulo, Brazil

    Fabio Gagliardi Cozman

  • Frankfurt School of Finance & Management, Frankfurt am Main, Germany

    Gregory Wheeler

About the editors

Thomas Augustin is Professor of Statistics at Ludwig-Maximilians-Universität München (LMU Munich), where he heads the "Foundations of Statistics and their Applications" Lab. His research interest is to develop set-valued methods for reliable statistical inference, decision making, and machine learning. For this, he utilizes
concepts from imprecise probabilities and partial identification to cope with different kinds of complex uncertainty, like non-randomly missing or coarsened data, non-standard measurement error, ambiguity,
conflicting information, and structural model indeterminacy. 

Fabio G. Cozman is Professor of Computer Science at Escola Politécnica, Universidade de São Paulo (USP), Director of the Center for Artificial Intelligence at USP, with an interest in machine learning and knowledge/uncertainty representation. Engineer (USP) and PhD (Carnegie Mellon University, USA), he has served as Program and General Chair of the Conference on Uncertainty in Artificial Intelligence, Area Chair of the International Joint Conference on Artificial Intelligence, and Associate Editor of the Artificial Intelligence Journal, the Journal of Artificial Intelligence Research, and the Journal of Approximate Reasoning.

Gregory Wheeler is Professor of Philosophy and Computer Science at Frankfurt School of Finance & Management, where he heads the Center for Human & Machine Intelligence and is Academic Director of the Master of Applied Data Science program.  His research interests concern the foundations of probability, bounded rationality, and decision-making under uncertainty involving underspecified models, conflicting information, computational resource bounds, and indeterminacy.  He also co-founded Exaloan AG, a Frankfurt-based financial services software company, where he is Head of Machine Learning.


Bibliographic Information

  • Book Title: Reflections on the Foundations of Probability and Statistics

  • Book Subtitle: Essays in Honor of Teddy Seidenfeld

  • Editors: Thomas Augustin, Fabio Gagliardi Cozman, Gregory Wheeler

  • Series Title: Theory and Decision Library A:

  • DOI: https://doi.org/10.1007/978-3-031-15436-2

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-031-15435-5Published: 15 January 2023

  • Softcover ISBN: 978-3-031-15438-6Published: 15 January 2024

  • eBook ISBN: 978-3-031-15436-2Published: 14 January 2023

  • Series ISSN: 0921-3384

  • Series E-ISSN: 2352-2119

  • Edition Number: 1

  • Number of Pages: XII, 346

  • Number of Illustrations: 12 b/w illustrations, 21 illustrations in colour

  • Topics: Epistemology, Probability and Statistics in Computer Science, Statistics, general, History of Philosophy

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